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Eddy-resolving methods have gained enormous interest in turbulent flow simulations recently as they rely much less on problem-dependent Reynolds-averaged based closure models (also known as RANS). Without any stringent requirements in fully resolving the wall turbulence, WMLES (Wall-Modelled Large-Eddy Simulations) has shown great promise.
However, unphysical separation bubbles (often laminar) can often occur in applying WMLES, especially near the leading edge where the flow experiences a certain amount of adverse pressure gradient. This poses a potential significant drawback to the application of WMLES to practical aerodynamic predictions where Reynolds numbers are high and strong adverse pressure gradients are almost unavoidable.
The proposed project investigates how efficient methods of introducing the onset of turbulence via external forcing can mitigate the problem and can be practically useable. More fundamentally, the project will look into a “relaxation principle” in the log region of the turbulent boundary layer that could naturally allow turbulence onset to take place without any external forcing.
The project will utilise national and regional high performance parallel computing resources to conduct high fidelity numerical simulations. A hierarchy of test cases of practical meaningfulness will be considered, including the publicly available Airbus XRF1 configuration.
Eddy-resolving methods have gained enormous interest in turbulent flow simulations recently as they rely much less on problem-dependent Reynolds-averaged based closure models (also known as RANS). Without any stringent requirements in fully resolving the wall turbulence, WMLES (Wall-Modelled Large-Eddy Simulations) has shown great promise.
However, unphysical separation bubbles (often laminar) can often occur in applying WMLES, especially near the leading edge where the flow experiences a certain amount of adverse pressure gradient. This poses a potential significant drawback to the application of WMLES to practical aerodynamic predictions where Reynolds numbers are high and strong adverse pressure gradients are almost unavoidable.
The proposed project investigates how efficient methods of introducing the onset of turbulence via external forcing can mitigate the problem and can be practically useable. More fundamentally, the project will look into a “relaxation principle” in the log region of the turbulent boundary layer that could naturally allow turbulence onset to take place without any external forcing.
The project will utilise national and regional high performance parallel computing resources to conduct high fidelity numerical simulations. A hierarchy of test cases of practical meaningfulness will be considered, including the publicly available Airbus XRF1 configuration.
Admission Requirements
3.2+
6.5+
92+
Applicants should have or expect to achieve a 2:1 in Aerospace or Mechanical Engineering or Physics.
19 Feb 2025
3 Years
Oct
Tuition fees
International
28,600
Scholarships
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To help students navigate this challenging process, we recommend the following articles:
Development of Robust Wall Modelling for Practical Aerodynamic High Fidelity Prediction Phd
Loughborough University, Loughborough, United Kingdom
36 monthsProgramme duration
28,600 Tuition Fee/year
19 Feb, 2025Application Deadline
Engineering - AeronauticalMain Subject Area
Programme overview
Main Subject
Engineering - Aeronautical
Degree
PhD
Study Level
PHD
Study Mode
On Campus
Development of Robust Wall Modelling for Practical Aerodynamic High Fidelity Prediction Phd
Eddy-resolving methods have gained enormous interest in turbulent flow simulations recently as they rely much less on problem-dependent Reynolds-averaged based closure models (also known as RANS). Without any stringent requirements in fully resolving the wall turbulence, WMLES (Wall-Modelled Large-Eddy Simulations) has shown great promise.
However, unphysical separation bubbles (often laminar) can often occur in applying WMLES, especially near the leading edge where the flow experiences a certain amount of adverse pressure gradient. This poses a potential significant drawback to the application of WMLES to practical aerodynamic predictions where Reynolds numbers are high and strong adverse pressure gradients are almost unavoidable.
The proposed project investigates how efficient methods of introducing the onset of turbulence via external forcing can mitigate the problem and can be practically useable. More fundamentally, the project will look into a “relaxation principle” in the log region of the turbulent boundary layer that could naturally allow turbulence onset to take place without any external forcing.
The project will utilise national and regional high performance parallel computing resources to conduct high fidelity numerical simulations. A hierarchy of test cases of practical meaningfulness will be considered, including the publicly available Airbus XRF1 configuration.
Programme overview
Main Subject
Engineering - Aeronautical
Degree
PhD
Study Level
PHD
Study Mode
On Campus
Development of Robust Wall Modelling for Practical Aerodynamic High Fidelity Prediction Phd
Eddy-resolving methods have gained enormous interest in turbulent flow simulations recently as they rely much less on problem-dependent Reynolds-averaged based closure models (also known as RANS). Without any stringent requirements in fully resolving the wall turbulence, WMLES (Wall-Modelled Large-Eddy Simulations) has shown great promise.
However, unphysical separation bubbles (often laminar) can often occur in applying WMLES, especially near the leading edge where the flow experiences a certain amount of adverse pressure gradient. This poses a potential significant drawback to the application of WMLES to practical aerodynamic predictions where Reynolds numbers are high and strong adverse pressure gradients are almost unavoidable.
The proposed project investigates how efficient methods of introducing the onset of turbulence via external forcing can mitigate the problem and can be practically useable. More fundamentally, the project will look into a “relaxation principle” in the log region of the turbulent boundary layer that could naturally allow turbulence onset to take place without any external forcing.
The project will utilise national and regional high performance parallel computing resources to conduct high fidelity numerical simulations. A hierarchy of test cases of practical meaningfulness will be considered, including the publicly available Airbus XRF1 configuration.
Admission Requirements
Tuition fees
International
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
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Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
Scholarships to study abroad
Find scholarships to study abroad with our lists of international scholarships – categorized by country, by subject, and by type of student.
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Developing Natural Surfactants from Biomass for Industrial Applications PhD
Development of New Digital Technologies and Generative Artificial Intelligence Tools For The Next Generation Green-By-Design and Sustainable Pharmaceuticals PhD
Development of Robust Wall Modelling for Practical Aerodynamic High Fidelity Prediction Phd
Dynamic Deformation, Damage and Fracture Of Composites PhD
Energy Efficiency Optimisation of Electric Vehicles In Dynamic Driving Scenarios PhD
Engineering New Materials for Solid-State Cooling Phd
Enhancing Human-Robot Interaction: Leveraging Artificial Intelligence for Emotional Intelligence in Robotics PhD
Unveiling Molecular Mechanisms of the Beneficial Impact of Exercise on Cancer Metabolism PhD
Using the Metabolome to Study Aging and Geroprotectors in 3D Cell Models PhD
Visual Data Mining on Proteins and Biomedicine Crystallisation PhD
Waste-derived Bioplastics for a Circular and Sustainable Food Packaging Economy PhD
Life Sciences and Medicine (6)
Adaptive and Predictive Computational Modelling of Biomaterials: A Digital Twin Framework for Next-Generation Personalised Healthcare PhD
Adaptive and Predictive Computational Modelling of Biomaterials: A Digital Twin Framework for Next-Generation Personalised Healthcare PhD
Biomarkers of Aging PhD
Biomarkers of Aging PhD
Developing Prescription Guidelines for Passive Heat Therapy PhD
Developing Prescription Guidelines for Passive Heat Therapy PhD
Does Socialised Real-Life Body Exposure Promote Body Image Positivity PhD
Does Socialised Real-Life Body Exposure Promote Body Image Positivity PhD
Energy Dissipation In Human Soft Tissue During Impacts PhD
Energy Dissipation In Human Soft Tissue During Impacts PhD
Natural Sciences (6)
Accelerated Screening and Synthesis of New Chemotherapeutic Agents for Pancreatic Cancer PhD
Accelerated Screening and Synthesis of New Chemotherapeutic Agents for Pancreatic Cancer PhD
Bespoke Organometallic Compounds for Anticancer Studies PhD
Bespoke Organometallic Compounds for Anticancer Studies PhD
Bio-based Sustainable Materials for Autonomous Thermal Management in Wearables PhD
Bio-based Sustainable Materials for Autonomous Thermal Management in Wearables PhD
Biomimmetic Catalytic Asymmetric Synthesis of the Bisorbicillinoids and Related Products PhD
Biomimmetic Catalytic Asymmetric Synthesis of the Bisorbicillinoids and Related Products PhD
Climate and Ecological Transitions Hub Studentship PhD
Climate and Ecological Transitions Hub Studentship PhD
Coherent State Methods in Spectral Asymptotics PhD
Coherent State Methods in Spectral Asymptotics PhD
Computational Modelling of Sustainable Alloys PhD
Designing Classroom Tasks To Improve Students’ Learning Of Mathematics PhD
Developing Novel Antibiofilm Coatings for Sustainable Biofilm-Free Surfaces PhD
Development of Hybrid Microcomb Sources with Topologically Protected Dark Resonances for Simultaneous Classical and Quantum PhD
Development of Novel Bicyclopentanes (BCP) Bioisosteres From Bench Stable [1.1.1]-Propellane Precursors PhD
Digital Twins for Biofilm Management PhD
Dispersionless Integrable Systems In 2+1 Dimensions PhD
Social Sciences and Management (6)
An Evaluation of Erasmus+ Sport Projects and Their Impact on EU Sport Policy Development PhD
An Evaluation of Erasmus+ Sport Projects and Their Impact on EU Sport Policy Development PhD
Climate Change, Work Design and Worker Wellbeing Phd
Climate Change, Work Design and Worker Wellbeing Phd
Communication and Social Change (CSC) Hub Studentship PhD
Communication and Social Change (CSC) Hub Studentship PhD
Enhancing Motivation in Sport and Exercise Contexts PhD
Enhancing Motivation in Sport and Exercise Contexts PhD
Out of School Youth Provision: An Analysis of Funding and Operational Resilience within the Sector PhD
Out of School Youth Provision: An Analysis of Funding and Operational Resilience within the Sector PhD